{"id":"W6996168864","doi":"","title":"Remote First Nations transitioning from diesel to clean energy","year":2024,"lang":"de","type":"other","venue":"","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Diesel fuel; Ultra-low-sulfur diesel; Clean energy; Energy (signal processing); Renewable energy; Clean technology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005878432,0.0006199169,0.0001949047,0.0006680271,0.001583061,0.002516185,0.0007302525,0.002766815,0.1945523],"category_scores_gemma":[0.00142408,0.0001546582,0.0003066971,0.000776327,0.0007747658,0.001668577,0.002372668,0.002007472,0.04997367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002270984,"about_ca_system_score_gemma":0.006231489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03247638,"about_ca_topic_score_gemma":0.06715941,"domain_scores_codex":[0.9996961,0.00003230696,0.000005437635,0.00002558412,0.0001353922,0.0001050797],"domain_scores_gemma":[0.9995528,0.000064682,0.00003032995,0.00005465012,0.0001302046,0.0001672353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005985722,0.00005944535,0.000456975,0.0001768425,0.000003790727,0.0001026261,0.00008416213,0.0001686319,0.0007539041,0.06070112,0.8664365,0.07099616],"study_design_scores_gemma":[0.000006367121,0.00001210854,0.001248492,0.00009598836,0.000001495843,0.00004009783,0.0001527298,0.00007136392,0.0003567951,0.003615503,0.9943949,0.000004188319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001952242,0.00249797,0.0007114388,0.01051233,0.002113141,0.00006877555,0.003329053,0.0003546368,0.9784604],"genre_scores_gemma":[0.01664205,0.002141837,0.001430167,0.004850217,0.0002789657,0.0001299938,0.002735523,0.0002064503,0.9715847],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9675236,"threshold_uncertainty_score":0.6508423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240160276212051,"score_gpt":0.2672010771883453,"score_spread":0.2547994744262249,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}